activity
20222026
most citedGLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery

Rafi Ibn Sultan, Chengyin Li, Yiannos Demetriou +6

Background: Accurate segmentation of the Left Anterior Descending (LAD) artery in 3D free-breathing, non-contrast CT is critical for cardiac dose sparing in thoracic radiotherapy.…

physics.med-ph2025

Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent

Humza Nusrat, Bing Luo, Ryan Hall +5

Radiotherapy treatment planning is a complex and time-intensive process, often impacted by inter-planner variability and subjective decision-making. To address these challenges, we…

cs.CV2025★ 2 cited

GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation

Niloufar Eghbali, Hassan Bagher-Ebadian, Tuka Alhanai +1

Vision Transformers (ViTs) have shown promise in medical image semantic segmentation (MISS) by capturing long-range correlations. However, ViTs often struggle to model local spatia…

cs.CL2024★ 1 cited

Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models

Reza Khanmohammadi, Ahmed I Ghanem, Kyle Verdecchia +7

This study introduces a novel teacher-student architecture utilizing Large Language Models (LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes. Mi…

cs.CL2023

An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology

Reza Khanmohammadi, Mohammad M. Ghassemi, Kyle Verdecchia +8

Natural Language Processing (NLP) is a key technique for developing Medical Artificial Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build diagnost…

eess.IV2022★ 1 cited

FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images

Chengyin Li, Yao Qiang, Rafi Ibn Sultan +4

Computed Tomography (CT) based precise prostate segmentation for treatment planning is challenging due to (1) the unclear boundary of the prostate derived from CT's poor soft tissu…